Flame recognition in video

Author:

Phillips III Walter,Shah Mubarak,da Vitoria Lobo Niels

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference6 articles.

1. Cleary, T., Grosshandler, W., 1999. Survey of fire detection technologies and system evaluation/certification methodologies and their suitability for aircraft cargo compartments. US Department of Commerce, Technology Administration, National Institute of Standards and Technology

2. Davis, W., Notarianni, K., 1999. Nasa fire detection study. US Department of Commerce, Technology Administration, National Institute of Standards and Technology. http://www.fire.nist.gov/bfrlpubs/fire96/PDF/f96001.pdf

3. A system for real-time fire detection;Healey;IEEE Conf. Computer Vision and Pattern Recognition,1993

4. A rule-based machine vision system for fire detection in aircraft dry bays and engine compartments;Foo;Knowledge-Based Systems,1995

5. Plumb, O.A., Richards, R.F., 1996. Development of an economical video based fire detection and location system. US Department of Commerce, Technology Administration, National Institute of Standards and Technology. http://www.fire.nist.gov/bfrlpubs/fire96/PDF/f96005.pdf

Cited by 153 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A one stream three-dimensional convolutional neural network for fire recognition based on spatio-temporal fire analysis;Evolving Systems;2024-09-10

2. An efficient fire detection network with enhanced multi-scale feature learning and interference immunity;Journal of Intelligent & Fuzzy Systems;2024-04-16

3. Smoke Segmentation Method Based on Super Pixel Segmentation and Convolutional Neural Network;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

4. A new flame‐based colour space for efficient fire detection;IET Image Processing;2023-12-29

5. Deep Learning Technique for Real-Time Forest Fire Detection from Video Streams;2023 11th International Conference on Intelligent Systems and Embedded Design (ISED);2023-12-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3